Discover Awesome MCP Servers

OpenAPI to MCP Server

Automatically converts any OpenAPI specification into an MCP server, exposing all HTTP endpoints as callable tools with support for various authentication methods and request types.

date-mcp

An MCP server that provides AI agents with accurate, system-clock-backed date, time, timezone, and interval information to avoid hallucinations.

Concierge Voyage MCP

An interactive travel planning server that integrates flight searching, weather forecasting, and route calculation through external APIs like Amadeus and OpenWeather. It uses the Model Context Protocol to enable AI assistants to autonomously manage travel logistics and discover local services.

live2d-mcp

A simple MCP server that implements a note storage system allowing users to add and summarize notes with customizable detail levels.

imagine-mcp

Production-grade MCP server for image and video understanding and generation across Gemini, OpenAI, and Grok.

Shopify MCP

A read-only MCP server that lets AI assistants answer Shopify store operations questions via tools like get_shop, list_products, get_product, and list_orders.

mcp-server-dlis

A Model Context Protocol server that provides DLIS (Digital Log Interchange Standard) file analysis capabilities. This server enables LLMs to extract information from DLIS files, including channel data and metadata, with support for hierarchical data structures.

OpenCTI MCP Server

A Model Context Protocol server that facilitates integration with OpenCTI, allowing users to query and retrieve cyber threat intelligence data via a standardized interface.

tvsub-mcp

Inspects Apple TV.app playback and lets you load, translate, style, and sync subtitle overlays on macOS, with optional LLM translation via Anthropic, Claude Code, or Codex.

3DP MCP Server

Enables Claude to create 3D-printable CAD models using build123d, with tools for modeling, modification, analysis, and publishing to platforms like Thingiverse and GitHub.

@uicheck/mcp

Enables AI agents to capture screenshots and inspect DOM elements from connected browser pages via WebSocket.

packkit-mcp

Lets AI agents scaffold modern npm packages, CLIs, HTTP services, and apps as a native tool. Three tools: inspect the full option/preset schema, preview the generated file tree for a config, and write the project to disk.

rustchain-mcp

MCP server for the RustChain blockchain and BoTTube video platform, enabling AI-agent-based token earning through model context protocol and proof-of-antiquity.

Proplist MCP Hello World

Minimal FastMCP server that lists worksheet names, IDs, and visibility from a SharePoint Excel workbook via Microsoft Graph.

brain-v42

Provides persistent memory and knowledge management for coding agents via MCP, including typed decision/snippet/runbook storage, semantic search, explicit session lifecycle, and nightly consolidation.

Learn Anything

Turns any topic into a structured lesson with intuition, examples, and spaced repetition, using no AI on the server side.

Roblox Executor MCP Server

Enables AI agents to interact with a running Roblox game client, including executing Lua code, inspecting scripts, and spying on remotes, with a local dashboard for monitoring and control.

Visual Generator MCP

An MCP server for generating images and videos via external multimodal models, providing unified tools like imageGenerate, videoGenerate, and materialWrite with support for normal and smart generation modes.

(S)AGE

Persistent, consensus-validated institutional memory for AI agents. Gives LLMs real memory that survives across sessions - validated through BFT consensus, not just dumped to a file.

Swedish Financial Regulation MCP

Query Swedish financial regulation data — regulations, decisions, and requirements from Finansinspektionen — directly from Claude, Cursor, or any MCP-compatible client.

gitlab-mcp-server

MCP server for managing GitLab repositories — merge requests, pipelines, branches, and file operations.

Hippocampal Memory MCP

An MCP server for neuroanatomically-inspired memory consolidation using Neo4j and semantic search, enabling episodic memory encoding, semantic retrieval, and graph operations.

MCP Research Server

A Model Context Protocol server that provides tools for searching arXiv papers and managing research paper information with local storage capabilities.

Google Calendar MCP Server

Enables AI assistants to interact with Google Calendar through a simplified OAuth setup. Supports creating, editing, deleting, and searching calendar events without the complexity of Google Cloud Console configuration.

Kibana MCP Server

Here are a few ways to translate "MCP Server for Kibana SecOps," depending on the specific context: **General Translation:** * **Servidor MCP para Kibana SecOps** (This is the most direct and generally applicable translation.) **If "MCP" is an acronym and you know what it stands for, you might include that for clarity:** * **Servidor [Full Name of MCP] para Kibana SecOps** (Replace "[Full Name of MCP]" with the actual full name.) **If you want to emphasize the purpose of the server:** * **Servidor MCP para operaciones de seguridad (SecOps) en Kibana** (This emphasizes the "operations of security" aspect.) **Important Considerations:** * **"SecOps" is often used as is in Spanish-speaking technical contexts.** While you could translate it to "Operaciones de Seguridad," many professionals will understand "SecOps." * **Context is key.** Knowing what "MCP" refers to will allow for the most accurate translation. Therefore, the best translation is likely: * **Servidor MCP para Kibana SecOps** However, consider the other options if they fit the context better.

dltHub-AI-workbench

It gives Claude Code, Cursor, and Codex structured workflows and an MCP server for building data pipelines with dlt - covering REST API ingestion, transformations, data quality, and exploration.

PyAutoGUI-MCP

Exposes PyAutoGUI desktop automation functions as MCP tools, enabling mouse control, keyboard input, and screenshot capture.

cadkit

An MCP server for parametric part modeling in Onshape, producing fully-defined, variable-driven sketches and features. It enables LLMs to create editable CAD models using semantic selection and geometrically grounded constraints.